DBMS > Google Cloud Spanner vs. Machbase vs. SAP IQ vs. Teradata

System Properties Comparison Google Cloud Spanner vs. Machbase vs. SAP IQ vs. Teradata

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Editorial information provided by DB-Engines

Name

Description

A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.

TimeSeries DBMS for IoT and BigData

Columnar RDBMS optimized for Big Data analytics

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

column-oriented

Secondary database models

Document store
Graph DBMS
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.74
Rank	#105	Overall
	#51	Relational DBMS

Score	0.25
Rank	#267	Overall
	#21	Time Series DBMS

Score	4.97
Rank	#76	Overall
	#41	Relational DBMS

Score	72.59
Rank	#14	Overall
	#9	Relational DBMS

Website

cloud.google.com/spanner

www.machbase.com

www.sap.com/products/sybase-iq-big-data-management.html

www.teradata.com

Technical documentation

cloud.google.com/spanner/docs

endoc.machbase.com

help.sap.com/iq

docs.teradata.com

Developer

Google

Machbase

SAP, formerly Sybase

Teradata

Initial release

2017

2013

1994

1984

Current release

V4.0

16.1 SPS04, April 2019

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

free test version available

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

hosted

Linux
Windows

AIX
HP-UX
Linux
Solaris
Windows

hosted
Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

yes

Query statements complying to ANSI 2011

SQL-like query language

yes

SQL 2016 + extensions

APIs and other access methods

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

HTTP REST
JDBC
ODBC

ADO.NET
JDBC
ODBC
RESTful HTTP API

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

C
C#
C++
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

C
C#
C++
Java
Perl
PHP
Python
Ruby

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication with 3 replicas for regional instances.

selectable replication factor

SAP/Sybase Replication Server

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Strict serializable isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

volatile and lookup table

yes

User concepts

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

simple password-based access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Machbase is an extremely fast time series database which processes large volumes...
» more

Competitive advantages

Fastest Database for IIoT, Independently verified, on Industry Standard Benchmarks....
» more

Typical application scenarios

Distributed Query In Machbase Cluster Edition, a broker node, which is responsible...
» more

Key customers

Samsung, POSCO, Hyundai
» more

Market metrics

Real-time data processing Real-time index creation Optimized DBMS for processing...
» more

Licensing and pricing models

Machbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

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